728x90 반응형 Silhouette Coefficient2 [Clustering] Cluster Evaluation (silhouette coefficient, proximity matrix, clustering tendency) Measures of Cluster ValidityUnsupervised measure, Internal indexgoodness of a clustering structure w/o respect to external informationCluster Cohesion (compactness, tighness)Cluster Seperation (isolation) Supervised measure, External indexwhich cluster labels match externally supplied class labelsEntropy Relative measureCompare two different clustering resultsunsupervised/supervised measure 모두 적.. 2023. 6. 3. [Clustering] Drawbacks of K-means and Solutions with Python (K-means 단점과 해결방법) Setup# Start from importing necessary packages.import warningsimport numpy as npimport matplotlib.pyplot as pltimport matplotlib.cm as cmfrom IPython.display import displayfrom sklearn import metrics # for evaluationsfrom sklearn.datasets import make_blobs, make_circles # for generating experimental datafrom sklearn.preprocessing import StandardScaler # for feature scalingfrom sklearn.cluster im.. 2023. 5. 21. 이전 1 다음 728x90 반응형
